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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2016/09/02 08:52:20 UTC

[jira] [Resolved] (SPARK-16883) SQL decimal type is not properly cast to number when collecting SparkDataFrame

     [ https://issues.apache.org/jira/browse/SPARK-16883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Felix Cheung resolved SPARK-16883.
----------------------------------
          Resolution: Fixed
       Fix Version/s: 2.1.0
                      2.0.1
    Target Version/s: 2.0.1, 2.1.0

> SQL decimal type is not properly cast to number when collecting SparkDataFrame
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-16883
>                 URL: https://issues.apache.org/jira/browse/SPARK-16883
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 2.0.0
>            Reporter: Hossein Falaki
>             Fix For: 2.0.1, 2.1.0
>
>
> To reproduce run following code. As you can see "y" is a list of values.
> {code}
> registerTempTable(createDataFrame(iris), "iris")
> str(collect(sql("select cast('1' as double) as x, cast('2' as decimal) as y  from iris limit 5")))
> 'data.frame':	5 obs. of  2 variables:
>  $ x: num  1 1 1 1 1
>  $ y:List of 5
>   ..$ : num 2
>   ..$ : num 2
>   ..$ : num 2
>   ..$ : num 2
>   ..$ : num 2
> {code}



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